Aviation

Dataset statistics

Number of variables	25
Number of observations	79293
Missing cells	220864
Missing cells (%)	11.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	15.1 MiB
Average record size in memory	200.0 B

Variable types

Numeric	14
Categorical	9
Boolean	2

Warnings

`event_date` has a high cardinality: 12638 distinct values	High cardinality
`location` has a high cardinality: 25264 distinct values	High cardinality
`injury_severity` has a high cardinality: 124 distinct values	High cardinality
`make` has a high cardinality: 6707 distinct values	High cardinality
`model` has a high cardinality: 11330 distinct values	High cardinality
`Unnamed: 0` is highly correlated with `Year` and 1 other fields	High correlation
`total_fatal_injuries` is highly correlated with `injuries`	High correlation
`total_serious_injuries` is highly correlated with `injuries`	High correlation
`total_minor_injuries` is highly correlated with `injuries`	High correlation
`total_uninjured` is highly correlated with `pax_onboard` and 1 other fields	High correlation
`Year` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`injuries` is highly correlated with `total_fatal_injuries` and 2 other fields	High correlation
`pax_onboard` is highly correlated with `total_uninjured` and 1 other fields	High correlation
`survived` is highly correlated with `total_uninjured` and 1 other fields	High correlation
`df_index` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `Year` and 1 other fields	High correlation
`total_fatal_injuries` is highly correlated with `injuries` and 2 other fields	High correlation
`total_minor_injuries` is highly correlated with `injuries`	High correlation
`total_uninjured` is highly correlated with `injuries` and 2 other fields	High correlation
`Year` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`injuries` is highly correlated with `total_fatal_injuries` and 3 other fields	High correlation
`pax_onboard` is highly correlated with `survived`	High correlation
`fatality_percentage` is highly correlated with `total_fatal_injuries` and 3 other fields	High correlation
`survived` is highly correlated with `total_fatal_injuries` and 3 other fields	High correlation
`df_index` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `Year` and 1 other fields	High correlation
`total_fatal_injuries` is highly correlated with `injuries` and 2 other fields	High correlation
`total_uninjured` is highly correlated with `injuries` and 1 other fields	High correlation
`Year` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`injuries` is highly correlated with `total_fatal_injuries` and 2 other fields	High correlation
`pax_onboard` is highly correlated with `survived`	High correlation
`fatality_percentage` is highly correlated with `total_fatal_injuries` and 2 other fields	High correlation
`survived` is highly correlated with `total_fatal_injuries` and 3 other fields	High correlation
`df_index` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `df_index` and 1 other fields	High correlation
`amateur_build` is highly correlated with `AmateurBuilt`	High correlation
`aircraft_damage` is highly correlated with `weather_conditions` and 2 other fields	High correlation
`total_serious_injuries` is highly correlated with `injuries` and 2 other fields	High correlation
`pax_onboard` is highly correlated with `engine_type` and 2 other fields	High correlation
`df_index` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`number_of_engines` is highly correlated with `engine_type`	High correlation
`injuries` is highly correlated with `total_serious_injuries` and 2 other fields	High correlation
`total_fatal_injuries` is highly correlated with `total_serious_injuries` and 1 other fields	High correlation
`engine_type` is highly correlated with `pax_onboard` and 2 other fields	High correlation
`weather_conditions` is highly correlated with `aircraft_damage`	High correlation
`Year` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`fatality_percentage` is highly correlated with `aircraft_damage`	High correlation
`total_minor_injuries` is highly correlated with `total_serious_injuries` and 1 other fields	High correlation
`survived` is highly correlated with `pax_onboard` and 2 other fields	High correlation
`AmateurBuilt` is highly correlated with `amateur_build`	High correlation
`phase_of_flight` is highly correlated with `aircraft_damage`	High correlation
`total_uninjured` is highly correlated with `pax_onboard` and 1 other fields	High correlation
`amateur_build` is highly correlated with `AmateurBuilt`	High correlation
`AmateurBuilt` is highly correlated with `amateur_build`	High correlation
`aircraft_damage` has 2410 (3.0%) missing values	Missing
`number_of_engines` has 3986 (5.0%) missing values	Missing
`engine_type` has 3374 (4.3%) missing values	Missing
`total_fatal_injuries` has 23309 (29.4%) missing values	Missing
`total_serious_injuries` has 25551 (32.2%) missing values	Missing
`total_minor_injuries` has 24460 (30.8%) missing values	Missing
`total_uninjured` has 12344 (15.6%) missing values	Missing
`phase_of_flight` has 6054 (7.6%) missing values	Missing
`injuries` has 29557 (37.3%) missing values	Missing
`pax_onboard` has 29671 (37.4%) missing values	Missing
`fatality_percentage` has 29698 (37.5%) missing values	Missing
`survived` has 29671 (37.4%) missing values	Missing
`total_fatal_injuries` is highly skewed (γ1 = 29.51903889)	Skewed
`total_serious_injuries` is highly skewed (γ1 = 37.45361961)	Skewed
`total_minor_injuries` is highly skewed (γ1 = 66.84890696)	Skewed
`injuries` is highly skewed (γ1 = 30.77744311)	Skewed
`Unnamed: 0` is uniformly distributed	Uniform
`df_index` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`df_index` has unique values	Unique
`number_of_engines` has 1275 (1.6%) zeros	Zeros
`total_fatal_injuries` has 40092 (50.6%) zeros	Zeros
`total_serious_injuries` has 42660 (53.8%) zeros	Zeros
`total_minor_injuries` has 40064 (50.5%) zeros	Zeros
`total_uninjured` has 19126 (24.1%) zeros	Zeros
`injuries` has 26956 (34.0%) zeros	Zeros
`fatality_percentage` has 40061 (50.5%) zeros	Zeros
`survived` has 7829 (9.9%) zeros	Zeros

Reproduction

Analysis started	2021-09-06 20:05:28.358153
Analysis finished	2021-09-06 20:05:54.773251
Duration	26.42 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	79293
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39646

Minimum	0
Maximum	79292
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	3964.6
Q1	19823
median	39646
Q3	59469
95-th percentile	75327.4
Maximum	79292
Range	79292
Interquartile range (IQR)	39646

Descriptive statistics

Standard deviation	22890.06178
Coefficient of variation (CV)	0.5773611912
Kurtosis	-1.2
Mean	39646
Median Absolute Deviation (MAD)	19823
Skewness	-2.103152104 × 10^-17
Sum	3143650278
Variance	523954928.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
4759	1	< 0.1%
10896	1	< 0.1%
8849	1	< 0.1%
14994	1	< 0.1%
12947	1	< 0.1%
2708	1	< 0.1%
661	1	< 0.1%
6806	1	< 0.1%
27288	1	< 0.1%
Other values (79283)	79283	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
79292	1	< 0.1%
79291	1	< 0.1%
79290	1	< 0.1%
79289	1	< 0.1%
79288	1	< 0.1%
79287	1	< 0.1%
79286	1	< 0.1%
79285	1	< 0.1%
79284	1	< 0.1%
79283	1	< 0.1%

event_date
Categorical

HIGH CARDINALITY

Distinct	12638
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Memory size	619.6 KiB

1982-05-16	25
1984-06-30	25
2000-07-08	25
1983-06-05	24
1983-08-05	24
Other values (12633)	79170

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	792930
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	542 ?
Unique (%)	0.7%

Sample

1st row	1982-06-13
2nd row	1982-07-01
3rd row	1982-07-16
4th row	1982-08-21
5th row	1982-08-24

Common Values

Value	Count	Frequency (%)
1982-05-16	25	< 0.1%
1984-06-30	25	< 0.1%
2000-07-08	25	< 0.1%
1983-06-05	24	< 0.1%
1983-08-05	24	< 0.1%
1986-05-17	24	< 0.1%
1984-08-25	24	< 0.1%
1983-05-28	23	< 0.1%
1988-08-07	23	< 0.1%
1982-10-03	23	< 0.1%
Other values (12628)	79053	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1982-05-16	25	< 0.1%
1984-06-30	25	< 0.1%
2000-07-08	25	< 0.1%
1983-06-05	24	< 0.1%
1983-08-05	24	< 0.1%
1986-05-17	24	< 0.1%
1984-08-25	24	< 0.1%
1983-05-28	23	< 0.1%
1988-08-07	23	< 0.1%
1982-10-03	23	< 0.1%
Other values (12628)	79053	99.7%

Most occurring characters

Value	Count	Frequency (%)
0	159256	20.1%
-	158586	20.0%
1	126056	15.9%
9	92245	11.6%
2	84143	10.6%
8	48463	6.1%
3	27198	3.4%
6	24806	3.1%
7	24363	3.1%
5	24355	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	634344	80.0%
Dash Punctuation	158586	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	159256	25.1%
1	126056	19.9%
9	92245	14.5%
2	84143	13.3%
8	48463	7.6%
3	27198	4.3%
6	24806	3.9%
7	24363	3.8%
5	24355	3.8%
4	23459	3.7%

Dash Punctuation

Value	Count	Frequency (%)
-	158586	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	792930	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	159256	20.1%
-	158586	20.0%
1	126056	15.9%
9	92245	11.6%
2	84143	10.6%
8	48463	6.1%
3	27198	3.4%
6	24806	3.1%
7	24363	3.1%
5	24355	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	792930	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	159256	20.1%
-	158586	20.0%
1	126056	15.9%
9	92245	11.6%
2	84143	10.6%
8	48463	6.1%
3	27198	3.4%
6	24806	3.1%
7	24363	3.1%
5	24355	3.1%

location
Categorical

HIGH CARDINALITY

Distinct	25264
Distinct (%)	31.9%
Missing	0
Missing (%)	0.0%
Memory size	619.6 KiB

ANCHORAGE, AK	372
MIAMI, FL	185
CHICAGO, IL	169
ALBUQUERQUE, NM	165
HOUSTON, TX	155
Other values (25259)	78247

Length

Max length	61
Median length	12
Mean length	12.93819127
Min length	4

Characters and Unicode

Total characters	1025908
Distinct characters	82
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14896 ?
Unique (%)	18.8%

Sample

1st row	CAMBRIA, NY
2nd row	MCWHORTER, KY
3rd row	FREDERICK, MD
4th row	VENTURA, CA
5th row	SIDNEY, NE

Common Values

Value	Count	Frequency (%)
ANCHORAGE, AK	372	0.5%
MIAMI, FL	185	0.2%
CHICAGO, IL	169	0.2%
ALBUQUERQUE, NM	165	0.2%
HOUSTON, TX	155	0.2%
Anchorage, AK	140	0.2%
FAIRBANKS, AK	138	0.2%
ORLANDO, FL	114	0.1%
TUCSON, AZ	107	0.1%
ENGLEWOOD, CO	107	0.1%
Other values (25254)	77641	97.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	8179	4.5%
tx	5265	2.9%
fl	5228	2.9%
ak	5171	2.9%
az	2554	1.4%
co	2508	1.4%
wa	2394	1.3%
il	1914	1.1%
mi	1896	1.0%
city	1883	1.0%
Other values (12575)	143931	79.6%

Most occurring characters

Value	Count	Frequency (%)
	101630	9.9%
,	79108	7.7%
A	74922	7.3%
N	47000	4.6%
L	45800	4.5%
E	44628	4.4%
O	41931	4.1%
I	36346	3.5%
T	34118	3.3%
R	33380	3.3%
Other values (72)	487045	47.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	609663	59.4%
Lowercase Letter	233302	22.7%
Space Separator	101630	9.9%
Other Punctuation	80593	7.9%
Decimal Number	464	< 0.1%
Dash Punctuation	216	< 0.1%
Open Punctuation	12	< 0.1%
Close Punctuation	12	< 0.1%
Format	9	< 0.1%
Control	5	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	74922	12.3%
N	47000	7.7%
L	45800	7.5%
E	44628	7.3%
O	41931	6.9%
I	36346	6.0%
T	34118	5.6%
R	33380	5.5%
C	33249	5.5%
S	30350	5.0%
Other values (18)	187939	30.8%

Lowercase Letter

Value	Count	Frequency (%)
a	29434	12.6%
e	25946	11.1%
n	21525	9.2%
o	19646	8.4%
l	17958	7.7%
i	17473	7.5%
r	17236	7.4%
t	13286	5.7%
s	11330	4.9%
d	7736	3.3%
Other values (16)	51732	22.2%

Decimal Number

Value	Count	Frequency (%)
1	83	17.9%
0	61	13.1%
2	60	12.9%
5	53	11.4%
3	45	9.7%
4	37	8.0%
7	34	7.3%
6	33	7.1%
8	31	6.7%
9	27	5.8%

Other Punctuation

Value	Count	Frequency (%)
,	79108	98.2%
.	1211	1.5%
'	166	0.2%
?	73	0.1%
/	29	< 0.1%
#	3	< 0.1%
§	2	< 0.1%
&	1	< 0.1%

Control

Value	Count	Frequency (%)
	2	40.0%
	2	40.0%
	1	20.0%

Space Separator

Value	Count	Frequency (%)
	101630	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	216	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12	100.0%

Format

Value	Count	Frequency (%)
	9	100.0%

Math Symbol

Value	Count	Frequency (%)
±	1	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	842965	82.2%
Common	182943	17.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	74922	8.9%
N	47000	5.6%
L	45800	5.4%
E	44628	5.3%
O	41931	5.0%
I	36346	4.3%
T	34118	4.0%
R	33380	4.0%
C	33249	3.9%
S	30350	3.6%
Other values (44)	421241	50.0%

Common

Value	Count	Frequency (%)
	101630	55.6%
,	79108	43.2%
.	1211	0.7%
-	216	0.1%
'	166	0.1%
1	83	< 0.1%
?	73	< 0.1%
0	61	< 0.1%
2	60	< 0.1%
5	53	< 0.1%
Other values (18)	282	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025878	> 99.9%
Latin 1 Sup	30	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	101630	9.9%
,	79108	7.7%
A	74922	7.3%
N	47000	4.6%
L	45800	4.5%
E	44628	4.4%
O	41931	4.1%
I	36346	3.5%
T	34118	3.3%
R	33380	3.3%
Other values (65)	487015	47.5%

Latin 1 Sup

Value	Count	Frequency (%)
Â	14	46.7%
	9	30.0%
§	2	6.7%
	2	6.7%
Ã	1	3.3%
±	1	3.3%
	1	3.3%

injury_severity
Categorical

HIGH CARDINALITY

Distinct	124
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	619.6 KiB

Non-Fatal	60025
Fatal(1)	7830
Fatal(2)	4618
Incident	3175
Fatal(3)	1450
Other values (119)	2195

Length

Max length	11
Median length	9
Mean length	8.769513072
Min length	8

Characters and Unicode

Total characters	695361
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	67 ?
Unique (%)	0.1%

Sample

1st row	Non-Fatal
2nd row	Non-Fatal
3rd row	Fatal(1)
4th row	Non-Fatal
5th row	Non-Fatal

Common Values

Value	Count	Frequency (%)
Non-Fatal	60025	75.7%
Fatal(1)	7830	9.9%
Fatal(2)	4618	5.8%
Incident	3175	4.0%
Fatal(3)	1450	1.8%
Fatal(4)	1012	1.3%
Fatal(5)	311	0.4%
Unavailable	220	0.3%
Fatal(6)	196	0.2%
Fatal(7)	83	0.1%
Other values (114)	373	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
non-fatal	60025	75.7%
fatal(1	7830	9.9%
fatal(2	4618	5.8%
incident	3175	4.0%
fatal(3	1450	1.8%
fatal(4	1012	1.3%
fatal(5	311	0.4%
unavailable	220	0.3%
fatal(6	196	0.2%
fatal(7	83	0.1%
Other values (114)	373	0.5%

Most occurring characters

Value	Count	Frequency (%)
a	152456	21.9%
t	79073	11.4%
l	76338	11.0%
F	75898	10.9%
n	66595	9.6%
N	60025	8.6%
o	60025	8.6%
-	60025	8.6%
(	15873	2.3%
)	15873	2.3%
Other values (18)	33180	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	448067	64.4%
Uppercase Letter	139318	20.0%
Dash Punctuation	60025	8.6%
Decimal Number	16205	2.3%
Open Punctuation	15873	2.3%
Close Punctuation	15873	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	152456	34.0%
t	79073	17.6%
l	76338	17.0%
n	66595	14.9%
o	60025	13.4%
i	3395	0.8%
e	3395	0.8%
c	3175	0.7%
d	3175	0.7%
v	220	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	8034	49.6%
2	4692	29.0%
3	1498	9.2%
4	1064	6.6%
5	354	2.2%
6	222	1.4%
7	115	0.7%
8	94	0.6%
0	71	0.4%
9	61	0.4%

Uppercase Letter

Value	Count	Frequency (%)
F	75898	54.5%
N	60025	43.1%
I	3175	2.3%
U	220	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	60025	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	15873	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	15873	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	587385	84.5%
Common	107976	15.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	152456	26.0%
t	79073	13.5%
l	76338	13.0%
F	75898	12.9%
n	66595	11.3%
N	60025	10.2%
o	60025	10.2%
i	3395	0.6%
e	3395	0.6%
I	3175	0.5%
Other values (5)	7010	1.2%

Common

Value	Count	Frequency (%)
-	60025	55.6%
(	15873	14.7%
)	15873	14.7%
1	8034	7.4%
2	4692	4.3%
3	1498	1.4%
4	1064	1.0%
5	354	0.3%
6	222	0.2%
7	115	0.1%
Other values (3)	226	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	695361	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	152456	21.9%
t	79073	11.4%
l	76338	11.0%
F	75898	10.9%
n	66595	9.6%
N	60025	8.6%
o	60025	8.6%
-	60025	8.6%
(	15873	2.3%
)	15873	2.3%
Other values (18)	33180	4.8%

aircraft_damage
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	2410
Missing (%)	3.0%
Memory size	619.6 KiB

Substantial	57049
Destroyed	17322
Minor	2512

Length

Max length	11
Median length	11
Mean length	10.3533551
Min length	5

Characters and Unicode

Total characters	795997
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Destroyed
2nd row	Destroyed
3rd row	Destroyed
4th row	Destroyed
5th row	Substantial

Common Values

Value	Count	Frequency (%)
Substantial	57049	71.9%
Destroyed	17322	21.8%
Minor	2512	3.2%
(Missing)	2410	3.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
substantial	57049	74.2%
destroyed	17322	22.5%
minor	2512	3.3%

Most occurring characters

Value	Count	Frequency (%)
t	131420	16.5%
a	114098	14.3%
s	74371	9.3%
n	59561	7.5%
i	59561	7.5%
S	57049	7.2%
u	57049	7.2%
b	57049	7.2%
l	57049	7.2%
e	34644	4.4%
Other values (6)	94146	11.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	719114	90.3%
Uppercase Letter	76883	9.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	131420	18.3%
a	114098	15.9%
s	74371	10.3%
n	59561	8.3%
i	59561	8.3%
u	57049	7.9%
b	57049	7.9%
l	57049	7.9%
e	34644	4.8%
r	19834	2.8%
Other values (3)	54478	7.6%

Uppercase Letter

Value	Count	Frequency (%)
S	57049	74.2%
D	17322	22.5%
M	2512	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	795997	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	131420	16.5%
a	114098	14.3%
s	74371	9.3%
n	59561	7.5%
i	59561	7.5%
S	57049	7.2%
u	57049	7.2%
b	57049	7.2%
l	57049	7.2%
e	34644	4.4%
Other values (6)	94146	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	795997	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	131420	16.5%
a	114098	14.3%
s	74371	9.3%
n	59561	7.5%
i	59561	7.5%
S	57049	7.2%
u	57049	7.2%
b	57049	7.2%
l	57049	7.2%
e	34644	4.4%
Other values (6)	94146	11.8%

make
Categorical

HIGH CARDINALITY

Distinct	6707
Distinct (%)	8.5%
Missing	89
Missing (%)	0.1%
Memory size	619.6 KiB

CESSNA	24847
PIPER	13529
BEECH	4881
BELL	2467
BOEING	2153
Other values (6702)	31327

Length

Max length	33
Median length	6
Mean length	7.494432099
Min length	2

Characters and Unicode

Total characters	593589
Distinct characters	47
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5425 ?
Unique (%)	6.8%

Sample

1st row	107.5 FLYING CORPORATION
2nd row	1200
3rd row	177MF LLC
4th row	1977 COLFER-CHAN
5th row	1ST FTR GP

Common Values

Value	Count	Frequency (%)
CESSNA	24847	31.3%
PIPER	13529	17.1%
BEECH	4881	6.2%
BELL	2467	3.1%
BOEING	2153	2.7%
MOONEY	1209	1.5%
GRUMMAN	1126	1.4%
ROBINSON	1005	1.3%
BELLANCA	987	1.2%
HUGHES	881	1.1%
Other values (6697)	26119	32.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cessna	24888	26.2%
piper	13569	14.3%
beech	4889	5.2%
bell	2514	2.7%
boeing	2231	2.4%
grumman	1456	1.5%
robinson	1305	1.4%
mooney	1249	1.3%
bellanca	989	1.0%
american	956	1.0%
Other values (5893)	40779	43.0%

Most occurring characters

Value	Count	Frequency (%)
E	82988	14.0%
S	66877	11.3%
A	56791	9.6%
N	50502	8.5%
C	47336	8.0%
R	44285	7.5%
I	35920	6.1%
P	32692	5.5%
O	26516	4.5%
L	22719	3.8%
Other values (37)	126963	21.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	573692	96.6%
Space Separator	15621	2.6%
Other Punctuation	2496	0.4%
Dash Punctuation	989	0.2%
Open Punctuation	338	0.1%
Close Punctuation	336	0.1%
Decimal Number	112	< 0.1%
Math Symbol	5	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	82988	14.5%
S	66877	11.7%
A	56791	9.9%
N	50502	8.8%
C	47336	8.3%
R	44285	7.7%
I	35920	6.3%
P	32692	5.7%
O	26516	4.6%
L	22719	4.0%
Other values (16)	107066	18.7%

Decimal Number

Value	Count	Frequency (%)
1	20	17.9%
0	17	15.2%
7	17	15.2%
2	13	11.6%
5	10	8.9%
3	9	8.0%
6	9	8.0%
8	7	6.2%
4	6	5.4%
9	4	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	1564	62.7%
,	321	12.9%
/	283	11.3%
&	271	10.9%
'	35	1.4%
?	22	0.9%

Space Separator

Value	Count	Frequency (%)
	15621	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	989	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	338	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	336	100.0%

Math Symbol

Value	Count	Frequency (%)
+	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	573692	96.6%
Common	19897	3.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	82988	14.5%
S	66877	11.7%
A	56791	9.9%
N	50502	8.8%
C	47336	8.3%
R	44285	7.7%
I	35920	6.3%
P	32692	5.7%
O	26516	4.6%
L	22719	4.0%
Other values (16)	107066	18.7%

Common

Value	Count	Frequency (%)
	15621	78.5%
.	1564	7.9%
-	989	5.0%
(	338	1.7%
)	336	1.7%
,	321	1.6%
/	283	1.4%
&	271	1.4%
'	35	0.2%
?	22	0.1%
Other values (11)	117	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	593589	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	82988	14.0%
S	66877	11.3%
A	56791	9.6%
N	50502	8.5%
C	47336	8.0%
R	44285	7.5%
I	35920	6.1%
P	32692	5.5%
O	26516	4.5%
L	22719	3.8%
Other values (37)	126963	21.4%

model
Categorical

HIGH CARDINALITY

Distinct	11330
Distinct (%)	14.3%
Missing	118
Missing (%)	0.1%
Memory size	619.6 KiB

152	2278
172	1263
172N	1133
PA-28-140	900
172M	775
Other values (11325)	72826

Length

Max length	20
Median length	5
Mean length	5.828215977
Min length	1

Characters and Unicode

Total characters	461449
Distinct characters	82
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7068 ?
Unique (%)	8.9%

Sample

1st row	64
2nd row	KR-2
3rd row	WINDWAGON
4th row	MIDGET MUSTANG
5th row	SKYBOLT

Common Values

Value	Count	Frequency (%)
152	2278	2.9%
172	1263	1.6%
172N	1133	1.4%
PA-28-140	900	1.1%
172M	775	1.0%
150	725	0.9%
172P	669	0.8%
150M	581	0.7%
PA-18	573	0.7%
PA-28-161	558	0.7%
Other values (11320)	69720	87.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
152	2303	2.5%
172	1329	1.5%
172n	1135	1.2%
ii	933	1.0%
pa-28-140	901	1.0%
172m	775	0.9%
150	758	0.8%
172p	672	0.7%
150m	581	0.6%
pa-18	577	0.6%
Other values (8845)	80852	89.0%

Most occurring characters

Value	Count	Frequency (%)
1	45859	9.9%
2	45323	9.8%
-	43474	9.4%
0	33868	7.3%
A	31738	6.9%
5	19580	4.2%
8	18527	4.0%
3	18109	3.9%
P	17213	3.7%
7	17205	3.7%
Other values (72)	170553	37.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	223981	48.5%
Uppercase Letter	166764	36.1%
Dash Punctuation	43474	9.4%
Lowercase Letter	14723	3.2%
Space Separator	11641	2.5%
Other Punctuation	457	0.1%
Open Punctuation	181	< 0.1%
Close Punctuation	177	< 0.1%
Math Symbol	50	< 0.1%
Control	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	31738	19.0%
P	17213	10.3%
R	11139	6.7%
C	10766	6.5%
B	10571	6.3%
T	8969	5.4%
S	8853	5.3%
E	7887	4.7%
I	6869	4.1%
M	6425	3.9%
Other values (16)	46334	27.8%

Lowercase Letter

Value	Count	Frequency (%)
a	1806	12.3%
e	1649	11.2%
r	1497	10.2%
i	1305	8.9%
t	1184	8.0%
o	1061	7.2%
n	998	6.8%
l	709	4.8%
s	662	4.5%
c	489	3.3%
Other values (16)	3363	22.8%

Other Punctuation

Value	Count	Frequency (%)
/	252	55.1%
.	150	32.8%
"	18	3.9%
'	17	3.7%
#	6	1.3%
,	6	1.3%
&	4	0.9%
;	1	0.2%
\	1	0.2%
:	1	0.2%

Decimal Number

Value	Count	Frequency (%)
1	45859	20.5%
2	45323	20.2%
0	33868	15.1%
5	19580	8.7%
8	18527	8.3%
3	18109	8.1%
7	17205	7.7%
4	10970	4.9%
6	10949	4.9%
9	3591	1.6%

Open Punctuation

Value	Count	Frequency (%)
(	180	99.4%
[	1	0.6%

Close Punctuation

Value	Count	Frequency (%)
)	176	99.4%
]	1	0.6%

Math Symbol

Value	Count	Frequency (%)
+	48	96.0%
=	2	4.0%

Dash Punctuation

Value	Count	Frequency (%)
-	43474	100.0%

Space Separator

Value	Count	Frequency (%)
	11641	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	279962	60.7%
Latin	181487	39.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	31738	17.5%
P	17213	9.5%
R	11139	6.1%
C	10766	5.9%
B	10571	5.8%
T	8969	4.9%
S	8853	4.9%
E	7887	4.3%
I	6869	3.8%
M	6425	3.5%
Other values (42)	61057	33.6%

Common

Value	Count	Frequency (%)
1	45859	16.4%
2	45323	16.2%
-	43474	15.5%
0	33868	12.1%
5	19580	7.0%
8	18527	6.6%
3	18109	6.5%
7	17205	6.1%
	11641	4.2%
4	10970	3.9%
Other values (20)	15406	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	461449	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	45859	9.9%
2	45323	9.8%
-	43474	9.4%
0	33868	7.3%
A	31738	6.9%
5	19580	4.2%
8	18527	4.0%
3	18109	3.9%
P	17213	3.7%
7	17205	3.7%
Other values (72)	170553	37.0%

amateur_build
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	572
Missing (%)	0.7%
Memory size	155.0 KiB

False	71105
True	7616
(Missing)	572

Common Values
Chart

Value	Count	Frequency (%)
False	71105	89.7%
True	7616	9.6%
(Missing)	572	0.7%

number_of_engines
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	3986
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.146042201

Minimum	0
Maximum	18
Zeros	1275
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	18
Range	18
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4559854315
Coefficient of variation (CV)	0.3978783951
Kurtosis	34.30191777
Mean	1.146042201
Median Absolute Deviation (MAD)	0
Skewness	3.02838621
Sum	86305
Variance	0.2079227137
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	63082	79.6%
2	10057	12.7%
0	1275	1.6%
3	477	0.6%
4	415	0.5%
18	1	< 0.1%
(Missing)	3986	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1275	1.6%
1	63082	79.6%
2	10057	12.7%
3	477	0.6%
4	415	0.5%
18	1	< 0.1%

Value	Count	Frequency (%)
18	1	< 0.1%
4	415	0.5%
3	477	0.6%
2	10057	12.7%
1	63082	79.6%
0	1275	1.6%

engine_type
Categorical

HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	< 0.1%
Missing	3374
Missing (%)	4.3%
Memory size	619.6 KiB

Reciprocating	64598
Turbo Shaft	3305
Turbo Prop	3042
Turbo Fan	2226
Unknown	2052
Other values (9)	696

Length

Max length	16
Median length	13
Mean length	12.47633662
Min length	4

Characters and Unicode

Total characters	947191
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	Reciprocating
2nd row	Reciprocating
3rd row	Reciprocating
4th row	Reciprocating
5th row	Reciprocating

Common Values

Value	Count	Frequency (%)
Reciprocating	64598	81.5%
Turbo Shaft	3305	4.2%
Turbo Prop	3042	3.8%
Turbo Fan	2226	2.8%
Unknown	2052	2.6%
Turbo Jet	678	0.9%
None	6	< 0.1%
Electric	3	< 0.1%
TF, TJ	3	< 0.1%
REC, TJ, TJ	2	< 0.1%
Other values (4)	4	< 0.1%
(Missing)	3374	4.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
reciprocating	64598	75.8%
turbo	9251	10.9%
shaft	3305	3.9%
prop	3042	3.6%
fan	2226	2.6%
unknown	2052	2.4%
jet	678	0.8%
tj	11	< 0.1%
rec	7	< 0.1%
none	6	< 0.1%
Other values (5)	9	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
c	129203	13.6%
i	129200	13.6%
o	78950	8.3%
r	76895	8.1%
n	72986	7.7%
a	70129	7.4%
t	68585	7.2%
p	67640	7.1%
e	65286	6.9%
R	64606	6.8%
Other values (23)	123711	13.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	852695	90.0%
Uppercase Letter	85216	9.0%
Space Separator	9266	1.0%
Other Punctuation	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	129203	15.2%
i	129200	15.2%
o	78950	9.3%
r	76895	9.0%
n	72986	8.6%
a	70129	8.2%
t	68585	8.0%
p	67640	7.9%
e	65286	7.7%
g	64598	7.6%
Other values (9)	29223	3.4%

Uppercase Letter

Value	Count	Frequency (%)
R	64606	75.8%
T	9265	10.9%
S	3305	3.9%
P	3042	3.6%
F	2229	2.6%
U	2052	2.4%
J	689	0.8%
E	12	< 0.1%
C	8	< 0.1%
N	6	< 0.1%
Other values (2)	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	9266	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	937911	99.0%
Common	9280	1.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	129203	13.8%
i	129200	13.8%
o	78950	8.4%
r	76895	8.2%
n	72986	7.8%
a	70129	7.5%
t	68585	7.3%
p	67640	7.2%
e	65286	7.0%
R	64606	6.9%
Other values (21)	114431	12.2%

Common

Value	Count	Frequency (%)
	9266	99.8%
,	14	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	947191	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	129203	13.6%
i	129200	13.6%
o	78950	8.3%
r	76895	8.1%
n	72986	7.7%
a	70129	7.4%
t	68585	7.2%
p	67640	7.1%
e	65286	6.9%
R	64606	6.8%
Other values (23)	123711	13.1%

total_fatal_injuries
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	122
Distinct (%)	0.2%
Missing	23309
Missing (%)	29.4%
Infinite	0
Infinite (%)	0.0%
Mean	0.8146791941

Minimum	0
Maximum	349
Zeros	40092
Zeros (%)	50.6%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	349
Range	349
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	6.23370003
Coefficient of variation (CV)	7.651723618
Kurtosis	1082.130068
Mean	0.8146791941
Median Absolute Deviation (MAD)	0
Skewness	29.51903889
Sum	45609
Variance	38.85901607
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	40092	50.6%
1	7847	9.9%
2	4619	5.8%
3	1451	1.8%
4	1012	1.3%
5	311	0.4%
6	196	0.2%
7	83	0.1%
8	65	0.1%
10	42	0.1%
Other values (112)	266	0.3%
(Missing)	23309	29.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	40092	50.6%
1	7847	9.9%
2	4619	5.8%
3	1451	1.8%
4	1012	1.3%
5	311	0.4%
6	196	0.2%
7	83	0.1%
8	65	0.1%
9	36	< 0.1%

Value	Count	Frequency (%)
349	2	< 0.1%
295	1	< 0.1%
270	1	< 0.1%
265	1	< 0.1%
256	1	< 0.1%
239	1	< 0.1%
230	1	< 0.1%
229	1	< 0.1%
228	2	< 0.1%
224	1	< 0.1%

total_serious_injuries
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	40
Distinct (%)	0.1%
Missing	25551
Missing (%)	32.2%
Infinite	0
Infinite (%)	0.0%
Mean	0.3177031

Minimum	0
Maximum	111
Zeros	42660
Zeros (%)	53.8%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	111
Range	111
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.372924237
Coefficient of variation (CV)	4.321406485
Kurtosis	2213.530689
Mean	0.3177031
Median Absolute Deviation (MAD)	0
Skewness	37.45361961
Sum	17074
Variance	1.884920959
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	42660	53.8%
1	8016	10.1%
2	2177	2.7%
3	502	0.6%
4	205	0.3%
5	65	0.1%
6	25	< 0.1%
7	22	< 0.1%
8	7	< 0.1%
10	7	< 0.1%
Other values (30)	56	0.1%
(Missing)	25551	32.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	42660	53.8%
1	8016	10.1%
2	2177	2.7%
3	502	0.6%
4	205	0.3%
5	65	0.1%
6	25	< 0.1%
7	22	< 0.1%
8	7	< 0.1%
9	7	< 0.1%

Value	Count	Frequency (%)
111	1	< 0.1%
106	1	< 0.1%
81	1	< 0.1%
66	1	< 0.1%
60	1	< 0.1%
59	2	< 0.1%
55	1	< 0.1%
50	3	< 0.1%
47	1	< 0.1%
45	1	< 0.1%

total_minor_injuries
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	62
Distinct (%)	0.1%
Missing	24460
Missing (%)	30.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.5025805628

Minimum	0
Maximum	380
Zeros	40064
Zeros (%)	50.5%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	380
Range	380
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.781994444
Coefficient of variation (CV)	5.53541989
Kurtosis	7360.610457
Mean	0.5025805628
Median Absolute Deviation (MAD)	0
Skewness	66.84890696
Sum	27558
Variance	7.739493085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	40064	50.5%
1	9519	12.0%
2	3575	4.5%
3	799	1.0%
4	389	0.5%
5	136	0.2%
6	72	0.1%
7	58	0.1%
9	28	< 0.1%
8	23	< 0.1%
Other values (52)	170	0.2%
(Missing)	24460	30.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	40064	50.5%
1	9519	12.0%
2	3575	4.5%
3	799	1.0%
4	389	0.5%
5	136	0.2%
6	72	0.1%
7	58	0.1%
8	23	< 0.1%
9	28	< 0.1%

Value	Count	Frequency (%)
380	1	< 0.1%
200	1	< 0.1%
171	1	< 0.1%
137	1	< 0.1%
125	1	< 0.1%
96	1	< 0.1%
88	1	< 0.1%
84	1	< 0.1%
71	1	< 0.1%
69	1	< 0.1%

total_uninjured
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	364
Distinct (%)	0.5%
Missing	12344
Missing (%)	15.6%
Infinite	0
Infinite (%)	0.0%
Mean	5.790885599

Minimum	0
Maximum	699
Zeros	19126
Zeros (%)	24.1%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	6
Maximum	699
Range	699
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	29.22301628
Coefficient of variation (CV)	5.046381211
Kurtosis	101.5231507
Mean	5.790885599
Median Absolute Deviation (MAD)	1
Skewness	8.950895422
Sum	387694
Variance	853.9846806
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	22583	28.5%
0	19126	24.1%
2	14316	18.1%
3	3949	5.0%
4	2508	3.2%
5	817	1.0%
6	449	0.6%
7	253	0.3%
8	141	0.2%
9	111	0.1%
Other values (354)	2696	3.4%
(Missing)	12344	15.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19126	24.1%
1	22583	28.5%
2	14316	18.1%
3	3949	5.0%
4	2508	3.2%
5	817	1.0%
6	449	0.6%
7	253	0.3%
8	141	0.2%
9	111	0.1%

Value	Count	Frequency (%)
699	2	< 0.1%
588	2	< 0.1%
576	2	< 0.1%
573	2	< 0.1%
558	1	< 0.1%
528	2	< 0.1%
507	1	< 0.1%
501	2	< 0.1%
495	2	< 0.1%
461	2	< 0.1%

weather_conditions
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	619.6 KiB

VMC	70507
IMC	5660
UNK	3126

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	237879
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	VMC
2nd row	VMC
3rd row	VMC
4th row	VMC
5th row	VMC

Common Values

Value	Count	Frequency (%)
VMC	70507	88.9%
IMC	5660	7.1%
UNK	3126	3.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
vmc	70507	88.9%
imc	5660	7.1%
unk	3126	3.9%

Most occurring characters

Value	Count	Frequency (%)
M	76167	32.0%
C	76167	32.0%
V	70507	29.6%
I	5660	2.4%
U	3126	1.3%
N	3126	1.3%
K	3126	1.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	237879	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	76167	32.0%
C	76167	32.0%
V	70507	29.6%
I	5660	2.4%
U	3126	1.3%
N	3126	1.3%
K	3126	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	237879	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	76167	32.0%
C	76167	32.0%
V	70507	29.6%
I	5660	2.4%
U	3126	1.3%
N	3126	1.3%
K	3126	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	237879	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	76167	32.0%
C	76167	32.0%
V	70507	29.6%
I	5660	2.4%
U	3126	1.3%
N	3126	1.3%
K	3126	1.3%

phase_of_flight
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	6054
Missing (%)	7.6%
Memory size	619.6 KiB

LANDING	19209
TAKEOFF	15284
CRUISE	10749
MANEUVERING	9818
APPROACH	7720
Other values (7)	10459

Length

Max length	11
Median length	7
Mean length	7.393779271
Min length	4

Characters and Unicode

Total characters	541513
Distinct characters	23
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CLIMB
2nd row	CRUISE
3rd row	APPROACH
4th row	MANEUVERING
5th row	LANDING

Common Values

Value	Count	Frequency (%)
LANDING	19209	24.2%
TAKEOFF	15284	19.3%
CRUISE	10749	13.6%
MANEUVERING	9818	12.4%
APPROACH	7720	9.7%
TAXI	2322	2.9%
CLIMB	2279	2.9%
DESCENT	2202	2.8%
GO-AROUND	1608	2.0%
STANDING	1219	1.5%
Other values (2)	829	1.0%
(Missing)	6054	7.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
landing	19209	26.2%
takeoff	15284	20.9%
cruise	10749	14.7%
maneuvering	9818	13.4%
approach	7720	10.5%
taxi	2322	3.2%
climb	2279	3.1%
descent	2202	3.0%
go-around	1608	2.2%
standing	1219	1.7%
Other values (2)	829	1.1%

Most occurring characters

Value	Count	Frequency (%)
N	66318	12.2%
A	64900	12.0%
E	50230	9.3%
I	45596	8.4%
G	31854	5.9%
F	30568	5.6%
R	30052	5.5%
O	27049	5.0%
D	24238	4.5%
C	22950	4.2%
Other values (13)	147758	27.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	539905	99.7%
Dash Punctuation	1608	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	66318	12.3%
A	64900	12.0%
E	50230	9.3%
I	45596	8.4%
G	31854	5.9%
F	30568	5.7%
R	30052	5.6%
O	27049	5.0%
D	24238	4.5%
C	22950	4.3%
Other values (12)	146150	27.1%

Dash Punctuation

Value	Count	Frequency (%)
-	1608	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	539905	99.7%
Common	1608	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	66318	12.3%
A	64900	12.0%
E	50230	9.3%
I	45596	8.4%
G	31854	5.9%
F	30568	5.7%
R	30052	5.6%
O	27049	5.0%
D	24238	4.5%
C	22950	4.3%
Other values (12)	146150	27.1%

Common

Value	Count	Frequency (%)
-	1608	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	541513	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	66318	12.2%
A	64900	12.0%
E	50230	9.3%
I	45596	8.4%
G	31854	5.9%
F	30568	5.6%
R	30052	5.5%
O	27049	5.0%
D	24238	4.5%
C	22950	4.2%
Other values (13)	147758	27.3%

Year
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	42
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1996.749827

Minimum	1948
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	1948
5-th percentile	1983
Q1	1988
median	1996
Q3	2005
95-th percentile	2014
Maximum	2017
Range	69
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	10.11297874
Coefficient of variation (CV)	0.005064719981
Kurtosis	-1.155373615
Mean	1996.749827
Median Absolute Deviation (MAD)	9
Skewness	0.2332184642
Sum	158328284
Variance	102.2723391
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1982	3593	4.5%
1983	3556	4.5%
1984	3457	4.4%
1985	3096	3.9%
1986	2880	3.6%
1987	2828	3.6%
1988	2730	3.4%
1989	2544	3.2%
1990	2518	3.2%
1991	2462	3.1%
Other values (32)	49629	62.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1948	1	< 0.1%
1962	1	< 0.1%
1974	1	< 0.1%
1977	1	< 0.1%
1979	1	< 0.1%
1981	1	< 0.1%
1982	3593	4.5%
1983	3556	4.5%
1984	3457	4.4%
1985	3096	3.9%

Value	Count	Frequency (%)
2017	1	< 0.1%
2016	1409	1.8%
2015	1578	2.0%
2014	1539	1.9%
2013	1555	2.0%
2012	1860	2.3%
2011	1886	2.4%
2010	1818	2.3%
2009	1805	2.3%
2008	1931	2.4%

Month
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.582787888

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.060089058
Coefficient of variation (CV)	0.4648621694
Kurtosis	-0.9007937113
Mean	6.582787888
Median Absolute Deviation (MAD)	2
Skewness	-0.05644265097
Sum	521969
Variance	9.364145045
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	9504	12.0%
8	8983	11.3%
6	8544	10.8%
5	7626	9.6%
9	7382	9.3%
4	6549	8.3%
10	6165	7.8%
3	5994	7.6%
11	4907	6.2%
2	4680	5.9%
Other values (2)	8959	11.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4448	5.6%
2	4680	5.9%
3	5994	7.6%
4	6549	8.3%
5	7626	9.6%
6	8544	10.8%
7	9504	12.0%
8	8983	11.3%
9	7382	9.3%
10	6165	7.8%

Value	Count	Frequency (%)
12	4511	5.7%
11	4907	6.2%
10	6165	7.8%
9	7382	9.3%
8	8983	11.3%
7	9504	12.0%
6	8544	10.8%
5	7626	9.6%
4	6549	8.3%
3	5994	7.6%

Day
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.71744038

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.831329784
Coefficient of variation (CV)	0.5618809152
Kurtosis	-1.195828365
Mean	15.71744038
Median Absolute Deviation (MAD)	8
Skewness	0.006435342317
Sum	1246283
Variance	77.99238576
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	2723	3.4%
19	2685	3.4%
2	2675	3.4%
16	2667	3.4%
6	2661	3.4%
18	2646	3.3%
17	2639	3.3%
5	2638	3.3%
23	2635	3.3%
8	2633	3.3%
Other values (21)	52691	66.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2723	3.4%
2	2675	3.4%
3	2541	3.2%
4	2599	3.3%
5	2638	3.3%
6	2661	3.4%
7	2600	3.3%
8	2633	3.3%
9	2554	3.2%
10	2597	3.3%

Value	Count	Frequency (%)
31	1616	2.0%
30	2392	3.0%
29	2409	3.0%
28	2628	3.3%
27	2623	3.3%
26	2606	3.3%
25	2541	3.2%
24	2520	3.2%
23	2635	3.3%
22	2520	3.2%

injuries
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	97
Distinct (%)	0.2%
Missing	29557
Missing (%)	37.3%
Infinite	0
Infinite (%)	0.0%
Mean	1.071155702

Minimum	0
Maximum	283
Zeros	26956
Zeros (%)	34.0%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	4
Maximum	283
Range	283
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	5.048778214
Coefficient of variation (CV)	4.713393398
Kurtosis	1208.600025
Mean	1.071155702
Median Absolute Deviation (MAD)	0
Skewness	30.77744311
Sum	53275
Variance	25.49016146
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	26956	34.0%
1	11453	14.4%
2	6910	8.7%
3	1880	2.4%
4	1384	1.7%
5	395	0.5%
6	257	0.3%
7	101	0.1%
8	79	0.1%
10	39	< 0.1%
Other values (87)	282	0.4%
(Missing)	29557	37.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	26956	34.0%
1	11453	14.4%
2	6910	8.7%
3	1880	2.4%
4	1384	1.7%
5	395	0.5%
6	257	0.3%
7	101	0.1%
8	79	0.1%
9	36	< 0.1%

Value	Count	Frequency (%)
283	1	< 0.1%
275	1	< 0.1%
256	1	< 0.1%
231	1	< 0.1%
230	1	< 0.1%
229	1	< 0.1%
190	2	< 0.1%
189	1	< 0.1%
174	1	< 0.1%
171	1	< 0.1%

pax_onboard
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	322
Distinct (%)	0.6%
Missing	29671
Missing (%)	37.4%
Infinite	0
Infinite (%)	0.0%
Mean	5.286304462

Minimum	0
Maximum	528
Zeros	27
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	6
Maximum	528
Range	528
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	24.70287163
Coefficient of variation (CV)	4.672994492
Kurtosis	128.5555772
Mean	5.286304462
Median Absolute Deviation (MAD)	1
Skewness	10.25386491
Sum	262317
Variance	610.231867
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	21780	27.5%
2	15873	20.0%
3	4687	5.9%
4	3393	4.3%
5	1043	1.3%
6	597	0.8%
7	263	0.3%
8	168	0.2%
9	91	0.1%
10	89	0.1%
Other values (312)	1638	2.1%
(Missing)	29671	37.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	27	< 0.1%
1	21780	27.5%
2	15873	20.0%
3	4687	5.9%
4	3393	4.3%
5	1043	1.3%
6	597	0.8%
7	263	0.3%
8	168	0.2%
9	91	0.1%

Value	Count	Frequency (%)
528	2	< 0.1%
507	1	< 0.1%
496	2	< 0.1%
481	1	< 0.1%
468	1	< 0.1%
461	2	< 0.1%
459	2	< 0.1%
441	2	< 0.1%
440	2	< 0.1%
436	2	< 0.1%

fatality_percentage
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	114
Distinct (%)	0.2%
Missing	29698
Missing (%)	37.5%
Infinite	0
Infinite (%)	0.0%
Mean	17.37817274

Minimum	0
Maximum	100
Zeros	40061
Zeros (%)	50.5%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	36.86760591
Coefficient of variation (CV)	2.121489207
Kurtosis	1.055932869
Mean	17.37817274
Median Absolute Deviation (MAD)	0
Skewness	1.722139158
Sum	861870.477
Variance	1359.220365
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	40061	50.5%
100	7802	9.8%
50	861	1.1%
33.33333333	209	0.3%
66.66666667	157	0.2%
25	109	0.1%
75	87	0.1%
20	44	0.1%
40	30	< 0.1%
60	25	< 0.1%
Other values (104)	210	0.3%
(Missing)	29698	37.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	40061	50.5%
0.2544529262	1	< 0.1%
0.2985074627	1	< 0.1%
0.3584229391	1	< 0.1%
0.4081632653	1	< 0.1%
0.4926108374	1	< 0.1%
0.6289308176	2	< 0.1%
0.6666666667	1	< 0.1%
0.7407407407	1	< 0.1%
0.7518796992	1	< 0.1%

Value	Count	Frequency (%)
100	7802	9.8%
98.5915493	1	< 0.1%
98.18181818	1	< 0.1%
98.11320755	1	< 0.1%
97.56097561	1	< 0.1%
96.2962963	1	< 0.1%
94.95798319	1	< 0.1%
93.50649351	1	< 0.1%
91.11111111	2	< 0.1%
90.625	1	< 0.1%

survived
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	319
Distinct (%)	0.6%
Missing	29671
Missing (%)	37.4%
Infinite	0
Infinite (%)	0.0%
Mean	4.813913184

Minimum	0
Maximum	528
Zeros	7829
Zeros (%)	9.9%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	5
Maximum	528
Range	528
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	24.4240241
Coefficient of variation (CV)	5.073632026
Kurtosis	133.225737
Mean	4.813913184
Median Absolute Deviation (MAD)	1
Skewness	10.44181691
Sum	238876
Variance	596.5329533
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	19183	24.2%
2	13004	16.4%
0	7829	9.9%
3	3771	4.8%
4	2578	3.3%
5	812	1.0%
6	447	0.6%
7	224	0.3%
8	117	0.1%
9	71	0.1%
Other values (309)	1586	2.0%
(Missing)	29671	37.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7829	9.9%
1	19183	24.2%
2	13004	16.4%
3	3771	4.8%
4	2578	3.3%
5	812	1.0%
6	447	0.6%
7	224	0.3%
8	117	0.1%
9	71	0.1%

Value	Count	Frequency (%)
528	2	< 0.1%
507	1	< 0.1%
496	2	< 0.1%
481	1	< 0.1%
468	1	< 0.1%
461	2	< 0.1%
459	2	< 0.1%
441	2	< 0.1%
440	2	< 0.1%
436	2	< 0.1%

AmateurBuilt
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	77.6 KiB

False	71647
True	7646

Common Values
Chart

Value	Count	Frequency (%)
False	71647	90.4%
True	7646	9.6%

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	79293
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39646

Minimum	0
Maximum	79292
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	619.6 KiB

Quantile statistics

Minimum	0
5-th percentile	3964.6
Q1	19823
median	39646
Q3	59469
95-th percentile	75327.4
Maximum	79292
Range	79292
Interquartile range (IQR)	39646

Descriptive statistics

Standard deviation	22890.06178
Coefficient of variation (CV)	0.5773611912
Kurtosis	-1.2
Mean	39646
Median Absolute Deviation (MAD)	19823
Skewness	-2.103152104 × 10^-17
Sum	3143650278
Variance	523954928.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
4759	1	< 0.1%
10896	1	< 0.1%
8849	1	< 0.1%
14994	1	< 0.1%
12947	1	< 0.1%
2708	1	< 0.1%
661	1	< 0.1%
6806	1	< 0.1%
27288	1	< 0.1%
Other values (79283)	79283	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
79292	1	< 0.1%
79291	1	< 0.1%
79290	1	< 0.1%
79289	1	< 0.1%
79288	1	< 0.1%
79287	1	< 0.1%
79286	1	< 0.1%
79285	1	< 0.1%
79284	1	< 0.1%
79283	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Unnamed: 0	event_date	location	injury_severity	aircraft_damage	make	model	amateur_build	number_of_engines	engine_type	total_fatal_injuries	total_serious_injuries	total_minor_injuries	total_uninjured	weather_conditions	phase_of_flight	Year	Month	Day	injuries	pax_onboard	fatality_percentage	survived	AmateurBuilt	df_index
0	77738	1982-06-13	CAMBRIA, NY	Non-Fatal	Destroyed	NaN	64	No	1.0	Reciprocating	0.0	1.0	0.0	0.0	VMC	CLIMB	1982	6	13	1.0	1.0	0.0	1.0	No	77738
1	77526	1982-07-01	MCWHORTER, KY	Non-Fatal	Destroyed	NaN	KR-2	Yes	1.0	Reciprocating	0.0	1.0	1.0	0.0	VMC	CRUISE	1982	7	1	2.0	2.0	0.0	2.0	Yes	77526
2	77325	1982-07-16	FREDERICK, MD	Fatal(1)	Destroyed	NaN	WINDWAGON	Yes	1.0	Reciprocating	1.0	0.0	0.0	0.0	VMC	APPROACH	1982	7	16	1.0	1.0	100.0	0.0	Yes	77325
3	76825	1982-08-21	VENTURA, CA	Non-Fatal	Destroyed	NaN	MIDGET MUSTANG	Yes	1.0	Reciprocating	0.0	0.0	0.0	1.0	VMC	MANEUVERING	1982	8	21	0.0	1.0	0.0	1.0	Yes	76825
4	76786	1982-08-24	SIDNEY, NE	Non-Fatal	Substantial	NaN	SKYBOLT	Yes	1.0	Reciprocating	0.0	0.0	0.0	1.0	VMC	LANDING	1982	8	24	0.0	1.0	0.0	1.0	Yes	76786
5	76559	1982-09-11	PLATTSBURG, MO	Non-Fatal	Substantial	NaN	STARDUSTER TOO	Yes	1.0	Reciprocating	0.0	2.0	0.0	0.0	VMC	TAKEOFF	1982	9	11	2.0	2.0	0.0	2.0	Yes	76559
6	76182	1982-10-23	ELOY, AZ	Fatal(1)	Substantial	NaN	HOBBS B8M	Yes	1.0	Reciprocating	1.0	0.0	0.0	0.0	VMC	APPROACH	1982	10	23	1.0	1.0	100.0	0.0	Yes	76182
7	52359	1990-11-02	IOWA PARK, TX	Non-Fatal	Substantial	NaN	RANS S-9	Yes	1.0	Reciprocating	0.0	0.0	0.0	1.0	VMC	TAKEOFF	1990	11	2	0.0	1.0	0.0	1.0	Yes	52359
8	33935	1998-12-05	MANILLA, Philippines	Unavailable	NaN	NaN	A330	No	NaN	Unknown	NaN	NaN	NaN	NaN	UNK	NaN	1998	12	5	NaN	NaN	NaN	NaN	No	33935
9	29539	2000-11-28	Nairobi, Kenya	Incident	Minor	NaN	NaN	No	NaN	NaN	NaN	NaN	NaN	NaN	UNK	NaN	2000	11	28	NaN	NaN	NaN	NaN	No	29539

Last rows

	Unnamed: 0	event_date	location	injury_severity	aircraft_damage	make	model	amateur_build	number_of_engines	engine_type	total_fatal_injuries	total_serious_injuries	total_minor_injuries	total_uninjured	weather_conditions	phase_of_flight	Year	Month	Day	injuries	pax_onboard	fatality_percentage	survived	AmateurBuilt	df_index
79283	10469	2010-08-17	Toledo, Spain	Fatal(1)	Destroyed	ZIVKO AERONAUTICS INC	EDGE 540	No	1.0	Reciprocating	1.0	NaN	NaN	NaN	UNK	NaN	2010	8	17	NaN	NaN	NaN	NaN	No	10469
79284	785	2016-06-16	KyviÂÂkes, Lithuania	Fatal(1)	Destroyed	ZIVKO AERONAUTICS INC	EDGE 540	No	NaN	Reciprocating	1.0	NaN	NaN	NaN	UNK	NaN	2016	6	16	NaN	NaN	NaN	NaN	No	785
79285	20095	2005-07-30	Denison, TX	Fatal(1)	Destroyed	ZIVKO AERONAUTICS INC.	Edge 540-T	Yes	1.0	Reciprocating	1.0	NaN	NaN	NaN	VMC	MANEUVERING	2005	7	30	NaN	NaN	NaN	NaN	Yes	20095
79286	1243	2016-02-27	Hong Kong, Hong Kong	Fatal(1)	Substantial	ZLIN	Z242L	No	NaN	Reciprocating	1.0	NaN	NaN	NaN	UNK	UNKNOWN	2016	2	27	NaN	NaN	NaN	NaN	No	1243
79287	32877	1999-06-22	GROSSENHAIN, Germany	Fatal(4)	Substantial	ZLIN	Z-42M	No	NaN	NaN	4.0	NaN	NaN	NaN	UNK	NaN	1999	6	22	NaN	NaN	NaN	NaN	No	32877
79288	16118	2007-08-15	Mosquero, NM	Fatal(2)	Substantial	ZLIN AVIATION S.R.O.	Savage	No	1.0	Reciprocating	2.0	NaN	NaN	NaN	VMC	MANEUVERING	2007	8	15	NaN	NaN	NaN	NaN	No	16118
79289	22549	2004-05-29	Mazon, IL	Fatal(1)	Substantial	ZORN	EAA Sport Bi-Plane	Yes	1.0	Reciprocating	1.0	NaN	NaN	NaN	VMC	TAKEOFF	2004	5	29	NaN	NaN	NaN	NaN	Yes	22549
79290	3767	2014-07-06	Mattituck, NY	Fatal(1)	Substantial	ZUBAIR S KHAN	RAVEN	Yes	1.0	Reciprocating	1.0	NaN	NaN	NaN	VMC	MANEUVERING	2014	7	6	NaN	NaN	NaN	NaN	Yes	3767
79291	38361	1996-11-23	WILLIAMSPORT, PA	Non-Fatal	Substantial	ZUKOWSKI	EAA BIPLANE	Yes	1.0	Reciprocating	0.0	0.0	0.0	1.0	VMC	TAKEOFF	1996	11	23	0.0	1.0	0.0	1.0	Yes	38361
79292	35863	1998-02-22	WEYERS CAVE, VA	Non-Fatal	Substantial	ZWART	KIT FOX VIXEN	Yes	1.0	Reciprocating	0.0	0.0	0.0	2.0	VMC	DESCENT	1998	2	22	0.0	2.0	0.0	2.0	Yes	35863

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Control

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Format

Math Symbol

Modifier Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Other Punctuation